{"id":"W4250371082","doi":"10.1515/iupac.85.0525","title":"Ion Suppression","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; European commission; Standardization; Tandem mass spectrometry; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; Business; European union; Organic chemistry; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002473817,0.002204309,0.001836351,0.004525363,0.001052594,0.003894499,0.002824318,0.001498407,0.1264667],"category_scores_gemma":[0.0143358,0.0006081385,0.002051072,0.007687789,0.0004307088,0.003034414,0.002276227,0.001714358,0.2139295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586566,"about_ca_system_score_gemma":0.003555988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081082,"about_ca_topic_score_gemma":0.01704379,"domain_scores_codex":[0.9966989,0.0005399985,0.000553339,0.0009669695,0.0009691918,0.0002716215],"domain_scores_gemma":[0.9946035,0.001268709,0.0005832436,0.001405961,0.00190906,0.0002296121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001779063,0.0000231475,0.001027018,0.001495321,0.00005832904,0.000028963,0.00002359452,0.0001807933,0.0003039898,0.0007298793,0.9799442,0.01600685],"study_design_scores_gemma":[0.0001051979,0.00001509427,0.002130705,0.0004582739,0.00003953896,0.00007052266,0.00004340456,0.0001888815,0.0006179719,0.001649468,0.9946554,0.00002558235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001894909,0.0004937025,0.0005233716,0.0001632216,0.0001082709,0.00005958241,0.9936463,0.001405485,0.003410748],"genre_scores_gemma":[0.0005473155,0.0005061085,0.001466455,0.0002115339,0.0000273572,0.0001793061,0.9942602,0.0002820571,0.0025197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1264667,"threshold_uncertainty_score":0.4230734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159829885522352,"score_gpt":0.3885764610425754,"score_spread":0.3769781621873519,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}